AI-Driven Enterprise Data Architect & Transformation

GE Appliances, a Haier company; Indiana; Hybrid; USD 170,000 - 210,000; Full time

Job summary

GE Appliances, a Haier company, seeks a Senior Principal Enterprise Data Architect, AI Data Transformation, to lead enterprise data layer enhancement and governance initiatives across global operations. You will define AI-ready data architectures, RAG integration, and vector pipelines, partnering with IT, product engineering, and data science teams to deliver scalable, trustworthy data solutions.

The role emphasizes enterprise data governance, MDM with AI enrichment, and enabling AI copilots

Qualifications

• 15+ years in data roles with 5+ years in enterprise data architecture.
• 3+ years designing AI/ML data infrastructure (feature stores, vector DBs).
• Experience with ERP/SAP/Oracle, PLM, or large-scale IoT/telemetry.
• Excellent oral and written presentation skills.
• TOGAF or Zachman familiarity is preferred.

Responsibilities

• Lead the Enterprise AI Data Layer enhancement and transformation initiatives.
• Architect and govern data contracts, metadata, and lineage across domains.
• Define and deploy AI-ready data platforms including LLM/RAG integration and vector pipelines.
• Oversee data governance, MDM with AI-enabled entity resolution, and data quality gates.
• Collaborate with IT, product engineering, data science, and EA teams to ensure architecture alignment.

Skills

Enterprise Data Architecture

AI/ML data infra

Data governance

TOGAF/Zachman knowledge

DataOps

Education

Bachelor’s degree in CS/DS/Math/Engineering

Master’s degree preferred

Tools

BigQuery

Collibra

Vector databases

Knowledge Graph

Job description

GE Appliances, a Haier company, seeks a Senior Principal Enterprise Data Architect, AI Data Transformation, to lead enterprise data layer enhancement and governance initiatives across global operations. You will define AI-ready data architectures, RAG integration, and vector pipelines, partnering with IT, product engineering, and data science teams to deliver scalable, trustworthy data solutions.

The role emphasizes enterprise data governance, MDM with AI enrichment, and enabling AI copilots